Philipp Eiden

According to our database, Philipp Eiden authored at least 5 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Predicting the equivalent alkane carbon number of oils using graph neural networks and quantum mechanical descriptors.

Christoforos Brozos, Sandip Bhattacharya, Jan G. Rittig, Elie Akanny, Philipp Eiden, Alexander Mitsos

Comput. Chem. Eng., 2026

2024

MolPipeline: A Python Package for Processing Molecules with RDKit in Scikit-learn.

Jochen Sieg, Christian Feldmann, Jennifer Hemmerich, Conrad Stork, Frederik Sandfort, Philipp Eiden, Miriam Mathea

J. Chem. Inf. Model., 2024

2019

Correction to Analyzing Learned Molecular Representations for Property Prediction.

Kevin Yang, Kyle Swanson, Wengong Jin, Connor W. Coley, Philipp Eiden, Hua Gao, Angel Guzman-Perez, Timothy Hopper, Brian Kelley, Miriam Mathea, Andrew Palmer, Volker Settels, Tommi S. Jaakkola, Klavs F. Jensen, Regina Barzilay

J. Chem. Inf. Model., 2019

Analyzing Learned Molecular Representations for Property Prediction.

Kevin Yang, Kyle Swanson, Wengong Jin, Connor W. Coley, Philipp Eiden, Hua Gao, Angel Guzman-Perez, Timothy Hopper, Brian Kelley, Miriam Mathea, Andrew Palmer, Volker Settels, Tommi S. Jaakkola, Klavs F. Jensen, Regina Barzilay

J. Chem. Inf. Model., 2019

Are Learned Molecular Representations Ready For Prime Time?

Kevin Yang, Kyle Swanson, Wengong Jin, Connor W. Coley, Philipp Eiden, Hua Gao, Angel Guzman-Perez, Timothy Hopper, Brian Kelley, Miriam Mathea, Andrew Palmer, Volker Settels, Tommi S. Jaakkola, Klavs F. Jensen, Regina Barzilay

CoRR, 2019